Postgraduate in Artificial Intelligence

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Own degree ENDOR UNIVERSITY
in collaboration with IEBS

Starting 29 Octubre 2026

Duration 24 months

Modality 100% online

Why study this program?

Generative artificial intelligence has changed the rules of the game. But the market no longer seeks only profiles who use tools, but professionals capable of generating results, automating processes and leading transformation in companies. This master's degree in applied artificial intelligence prepares you to go beyond the use of AI: you will learn to design complete systems combining generative AI, intelligent agents, automation and business models.

You will master the entire ecosystem: from content creation with LLMs, Midjourney or video and audio tools, to the design of autonomous agents and automated workflows that optimise real processes. All with a practical approach. You will build a complete infrastructure: an automated content factory, connected AI systems and solutions ready to be implemented in business. The goal? To enable you to create, automate and lead artificial intelligence projects, generating real impact in companies and organisations.

AI ecosystem

Create content with LLMs, Midjourney and advanced audio and video tools.

Autonomous agents

Design and connect AI systems for the automation of real processes.

Real automation

Build content factories and efficient workflows for companies.

Business impact

Implement solutions ready to lead transformation and generate results.

Skills you will develop

Design and apply generative artificial intelligence solutions to create content in text, image, audio and video
Create and optimise advanced prompts (prompt engineering) to obtain efficient results with AI tools
Develop intelligent agents (AI agents) capable of executing tasks and processes autonomously
Automate workflows using no-code tools and node-based automation, connecting different platforms
Build scalable content production systems, creating an authentic AI content factory
Analyse business needs and develop digital products with AI (MVPs) validated with agile methodologies
Apply machine learning and predictive AI to improve decision-making and business strategy
Design AI-based business models, aligning technology, user and profitability
Implement AI solutions under criteria of security, ethics and legal compliance (GDPR)
Lead digital transformation and organisational change processes, facilitating AI adoption in teams
Measure the impact of AI on business, evaluating efficiency, productivity and return on investment (ROI)

Curriculum

Module 1. Fundamentals of Artificial Intelligence and Machine Learning Introduction to Artificial Intelligence and Machine Learning Regression and classification algorithms Model evaluation, cross-validation and metrics Data preprocessing and feature selection

Module 2. Supervised and Unsupervised Learning Decision trees, Random Forest and Gradient Boosting Clustering algorithms (K-Means, DBSCAN) Dimensionality reduction (PCA, t-SNE) Association rules and recommendation systems

Module 3. Deep Learning and Neural Networks Architecture and fundamentals of Artificial Neural Networks (ANN) Convolutional Neural Networks (CNN) for computer vision Recurrent Neural Networks (RNN) and Transformers Transfer Learning and Fine-Tuning of pre-trained models

Module 4. Natural Language Processing (NLP) Text processing and tokenisation techniques Language models and Word Embeddings Sentiment analysis and text classification LLM models and advanced Language Generation applications

Module 5. Generative AI, Prompt Engineering and No-Code Automation Generative AI architectures (GANs, VAEs, Diffusion Models) Advanced Prompt Engineering for text and multimodal models (ChatGPT, Midjourney) Workflow automation with No-Code tools (Make, n8n) and APIs Autonomous AI agents and integration of assistants in corporate environments

Module 6. Data Infrastructure, Big Data and MLOps IT systems and Big Data technologies Deployment of AI models in production and Cloud architectures Monitoring, maintenance and lifecycle of ML models (MLOps) Storage, vector databases and large-scale data pipeline

Module 7. Project Management, Business Strategy and Ethics in AI Artificial Intelligence adoption strategy in companies Governance, data privacy and legal framework of AI Ethical and responsible use of predictive and generative models Agile methodologies for managing data and AI projects

Module 8. Master's Final Project (TFM) Approach and diagnosis of a real business problem Design of the solution architecture and integration of AI models Development, testing and deployment of the prototype or autonomous system Presentation and defence of the final project before the panel

*The syllabus and masterclasses may be subject to modifications due to their updating and improvement.

Career opportunities

work Applied Artificial Intelligence Specialist: Implements AI models to solve specific business problems — €42,000 - €68,000/YEAR
work AI Product Manager: Leads the conceptualisation and development of AI-driven products — €45,000 - €75,000/YEAR
work Automation and Intelligent Agents Architect: Designs ecosystems of autonomous agents and automated workflows — €50,000 - €80,000/YEAR
work Head of AI and Digital Transformation: Leads the technology and AI adoption strategy at corporate level — €70,000 - €120,000/YEAR
work AI and Operational Efficiency Consultant: Advises companies on process optimisation through AI solutions — €40,000 - €65,000/YEAR
work Generative AI Content Specialist: Optimises the creation and scaling of content assets using generative AI — €30,000 - €48,000/YEAR
work Head of Innovation or Transformation in Companies: Drives new business models and cutting-edge methodologies — €65,000 - €110,000/YEAR
task_alt Entrepreneur in AI-based Projects: Launches and manages startups or business initiatives focused on AI technology — €35,000 - €70,000/YEAR

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Personalised support

Tutors and advisors by your side throughout the master's degree.

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Flexible methodology

Study when and where you want with a practical methodology.

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Professional connection

Expand your network with top-level professionals and companies.

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Own degree

Own degree from ENDOR University in collaboration with IEBS.